Triple
T2413821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Dolphins–New England Patriots rivalry |
E52255
|
entity |
| Predicate | divisionGameFrequency |
P30335
|
FINISHED |
| Object | two regular-season meetings per year |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: two regular-season meetings per year | Statement: [Miami Dolphins–New England Patriots rivalry, divisionGameFrequency, two regular-season meetings per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionGameFrequency Context triple: [Miami Dolphins–New England Patriots rivalry, divisionGameFrequency, two regular-season meetings per year]
-
A.
gamesFrequency
chosen
Indicates how often the related entities engage in playing games together or participate in game-related activities.
-
B.
divisionGame
Indicates a competitive interaction where one entity divides or is divided by another according to specific rules or objectives, as in a game based on division operations.
-
C.
divisionGamesPerSeason
Indicates the number of games played in a particular division during a single season.
-
D.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
E.
dividendFrequency
Indicates how often dividend payments are scheduled or distributed over a given period.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94a6458819087b8c4fe81a2d031 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:41 p.m.